Senior Data Operations Analyst

We are seeking a highly skilled Senior Data Operations Analyst to join our Global Wealth and Asset Management (GWAM) Data Office. This role will focus on managing and optimizing our Azure cloud infrastructure, specifically targeting data lake application and platform operations. You will work with cutting‑edge technologies like Azure Databricks to enhance our data operations and ensure seamless data accessibility for our global teams.

• Manage and optimize the Azure cloud infrastructure for data lake operations, ensuring high availability and performance.
• Oversee the operation of the Global Wealth and Asset Management data lake applications with ingestion, curation and process running on the Azure platform.
• Oversee the platform operations and automation for different Azure components like Azure Databricks, Data Factory, Key Vault, ADLS, and Unity Catalog, ensuring operations resiliency.
• Automate key operation activities by leveraging AI components and build automation for alerting and monitoring to enhance operational efficiency.
• Provide engineering and analytical support for building, developing, and deploying data models.
• Provide platform operations support to build, develop and automate more platform activities.
• Collaborate with end consumers to build a robust consumption model for querying and connecting to the data lake using Databricks connectors and other tools.
• Develop and enforce controls and processes for best practices, ensuring compliance and supporting audit evidence requirements.
• Troubleshoot and resolve issues related to data operations, ensuring data integrity and security.
• Develop and maintain documentation related to data operations processes and best practices.
• Stay updated with the latest technologies and trends in data operations and cloud infrastructure.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3 to 5 years of experience managing and optimizing Azure cloud infrastructure in data operations or a similar role, with a focus on cloud infrastructure and data lakes.
• Strong expertise in Azure cloud services primarily Azure Databricks with a strong understanding of unity catalog.
• Experience with automation tools and AI components to streamline operations, including alerting and monitoring systems.
• Proficiency in SQL, Python, or other programming languages used in data analysis and operations.
• Knowledge of RACI, incident, change, and problem management methodologies.
• Excellent problem‑solving skills and the ability to troubleshoot complex data issues.
• Strong communication and collaboration skills to work effectively with cross‑functional teams.
• Experience in implementing controls and processes for audit compliance.

• Understanding of Terraform for infrastructure as code practices
• Experience in the financial services industry
• Experience with AI tools for process efficiencies
• Hands on experience with various end user tools such as Power BI, Alteryx, Informatica

• We'll empower you to learn and grow the career you want.
• We'll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we'll support you in shaping the future you want to see.

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy‑related conditions), sexual orientation, genetic characteristics, veteran…